ESTIMATION OF SINGULARITIES FOR INTERCEPT POINT FORECASTING

In this paper, a recursive approach (an algorithm for estimation of si ngularity (AES)) is proposed to forecast the intercept point of a targ et and the pursuing interceptor recognized as the estimated singularit y of a nodal cubic curve fitted to the data The data comprises directi on of arrival (DOA) estimates of both target and interceptor obtained at regular intervals of time using the maximum likelihood (ML) DOA est imation method. The estimates of coefficients of the cubic polynomial are given by a recursive least squares solution. From these coefficien ts, closed-form solutions for angle of interception and intercept time are obtained which are the forecasted coordinates of the intercept po int. Experimental results demonstrate performance of the proposed algo rithm.